A custom middle-man API filling in missing functionality on the wedding planning site, AislePlanner.com. The API allows wedding guests to update their mailing info and RSVP choices in the guest list DB without any work additional management by the groom (me).
Date:
May 2017
Service:
web
Sc4venger Hunt
A custom made scavenger hunt through New Orleans ending in a marriage proposal. The scavenger hunt included an android app, Node / Parse back end hosted with Heroku, an HTML web puzzle, Twilio integration for SMS and phone based automated puzzles, Swarm integration, automated emails with Sendgrid, and AR experiences using Vuforia.
Reviews are usually either raving or rants. Meh is geared towards capturing the apathetic crowd in the middle. With a one-click review, we can capture feedback from more users and use this to augment the data already captured by Foursquare for personalized results. The app uses the foursquare API along with Parse “cloud code” back-end. View on Google Play
Date:
August 2015 - February 2016
Service:
android
music.kevincrimi.com
Personal website built using Jekyll for New York-based recording and performing musician, Kevin Crimi (oh yeah, that’s me). Show listings utilize the dynamic CMS features of Jekyll while still being able to serve the site as static pages to keep the site speedy and secure.
Date:
Oct 2015
Service:
web
Soundroid
An android app utilizing the Soundcloud API to search, and play music posted on Soundcloud
Date:
July 2015
Service:
android
BitDate
Inspired by the Tinder app, this demo dating app allows you to link with facebook and swipe left or right when presented with other users. Chat functionality is unlocked when two users are matched. Back-end utilizes firebase for collaborative data exchange.
Date:
July 2015
Service:
android
Datadash
Interactive data portal serving marketing, operations, and engineering teams for the company across 3 countries. Built using Ruby on Rails and Tableau.
Invesitgated datamapping algorithms to be used in the online music discovery and sharing tool, Songrium. YouTube videos were decomposed and mapped using t-weighted stochastic neighborhood embeddeding (t-SNE) in order to allow easy navigation of similar and related videos and genres in a 2D space.